SoftNeckCameraStabilization: Soft Robot Neck Identification and Control Data

Experimental data for the identification and control of a soft robot neck. The dataset includes input-output identification data for pitch and roll motions, as well as results from step input and camera stabilization experiments under different mass loads. It was authored by Jorge Muñoz and last updated on 2026-04 21.

Use Cases

• System identification for a two-pole transfer function model based on the described pitch and roll motion data.
• Comparing control algorithm performance (FOPI vs. PID) based on the provided step input and stabilization experiment results.
• Analyzing the effect of mass loads on soft robot neck dynamics based on the step input experiment data.
• Validating camera stabilization performance for a soft neck under disturbance based on the disturbance experiment datasets.

Strengths

• Includes multiple experimental conditions: pitch and roll motion at different frequencies.
• Provides comparative data for two control algorithms (FOPI and PID).
• Contains results from step input, stabilization, and disturbance experiments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Jorge Muñoz via e-cienciaDatos Harvested Dataverse

Collection Method

Experimental identification and control tests performed on a soft robot neck.

Time Range

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Freshness

Last updated 2026-04-21 17:54:56; freshness should be verified.

Geography

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